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20232026
most citedNeural Natural Language Processing for Long Texts: A Survey on Classification and Summarization

62 citations · 84 across the 14 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.LG2026

Physics-Aware Self-Supervised Pretraining on Multi-Domain Raman Spectra

Charalampos Davalas, Georgios Levantinos, Anastasios Dimitriou +3

Raman spectroscopy generates large volumes of unlabeled data that are difficult to exploit with conventional supervised learning. This work introduces a multi-domain self-supervise…

cs.CV2026

Facial Expression Recognition in the Deep Learning Era: A Systematic Multi-Criteria Review of Methods, Models, Datasets, Performance, Challenges, and Future Research Directions

Spyridon Georgiou, Aggelos Psiris, Spyridon Evangelatos +5

Facial Expression Recognition (FER) has advanced rapidly over the last decade, driven by the shift from handcrafted descriptors and shallow classifiers to deep convolutional, atten…

cs.RO2026

Foundation Models in Robotics: A Comprehensive Review of Methods, Models, Datasets, Challenges and Future Research Directions

Aggelos Psiris, Vasileios Argyriou, Evangelos K. Markakis +5

Over the recent years, the field of robotics has been undergoing a transformative paradigm shift from fixed, single-task, domain-specific solutions towards adaptive, multi-function…

cs.CV2026

Open-Vocabulary vs Supervised Learning Methods for Post-Disaster Visual Scene Understanding

Anna Michailidou, Georgios Angelidis, Vasileios Argyriou +2

Aerial imagery is critical for large-scale post-disaster damage assessment. Automated interpretation remains challenging due to clutter, visual variability, and strong cross-event…

cs.RO2026

FR-GESTURE: An RGBD Dataset For Gesture-based Human-Robot Interaction In First Responder Operations

Konstantinos Foteinos, Georgios Angelidis, Aggelos Psiris +3

The ever increasing intensity and number of disasters make even more difficult the work of First Responders (FRs). Artificial intelligence and robotics solutions could facilitate t…

cs.HC2026

Interactive Augmented Reality-enabled Outdoor Scene Visualization For Enhanced Real-time Disaster Response

Dimitrios Apostolakis, Georgios Angelidis, Vasileios Argyriou +2

A user-centered AR interface for disaster response is presented in this work that uses 3D Gaussian Splatting (3DGS) to visualize detailed scene reconstructions, while maintaining s…